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DBMS > Hive vs. Memgraph vs. OpenQM vs. Stardog vs. Yanza

System Properties Comparison Hive vs. Memgraph vs. OpenQM vs. Stardog vs. Yanza

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMemgraph  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonStardog  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAn open source graph database built for real-time streaming and compatible with Neo4jQpenQM is a high-performance, self-tuning, multi-value DBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTime Series DBMS for IoT Applications
Primary database modelRelational DBMSGraph DBMSMultivalue DBMSGraph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitehive.apache.orgmemgraph.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.stardog.comyanza.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homememgraph.com/­docsdocs.stardog.com
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software Foundation infoinitially developed by FacebookMemgraph LtdRocket Software, originally Martin PhillipsStardog-UnionYanza
Initial release20122017199320102015
Current release3.1.3, April 20223.4-127.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoGPLv2, extended commercial license availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++Java
Server operating systemsAll OS with a Java VMLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS
Windows
Windows
Data schemeyesschema-free and schema-optionalyes infowith some exceptionsschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesno infoImport/export of XML data possibleno
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJDBC
ODBC
Thrift
Bolt protocol
Cypher query language
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
HTTP API
Supported programming languagesC++
Java
PHP
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnoyesyes infovia event handlersyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioningyesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using RAFTyesMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and rolesUsers, roles and permissionsAccess rights can be defined down to the item levelAccess rights for users and rolesno
More information provided by the system vendor
HiveMemgraphOpenQM infoalso called QMStardogYanza
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
HiveMemgraphOpenQM infoalso called QMStardogYanza
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